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DBMS > Microsoft Azure Table Storage vs. Oracle NoSQL vs. RDFox vs. Realm

System Properties Comparison Microsoft Azure Table Storage vs. Oracle NoSQL vs. RDFox vs. Realm

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRDFox  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesHigh performance knowledge graph and semantic reasoning engineA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelWide column storeDocument store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score7.41
Rank#52  Overall
#8  Document stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oxfordsemantic.techrealm.io
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.oxfordsemantic.techrealm.io/­docs
DeveloperMicrosoftOracleOxford Semantic TechnologiesRealm, acquired by MongoDB in May 2019
Initial release2012201120172014
Current release24.1, May 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
Solaris SPARC/x86
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
C
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featurereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingconfigurable infoACID within a storage node (=shard)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesRoles, resources, and access typesyes

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More resources
Microsoft Azure Table StorageOracle NoSQLRDFoxRealm
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